Optimizing NARX-RNN Performance to Predict Precious Metal Futures market

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Optimizing NARX-RNN Performance to Predict Precious Metal Futures market

Precious metals offer lucrative investments appealing to investors globally, leading to a surge in demand for accurate forecasts. Published literature for prediction applications often employs Artificial Neural Networks (ANNs), possessing desirable generalization over nonlinear data and design flexi...

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Bibliographic Details
Main Authors:	Stephanie, Rengasamy, Dhanuskodi, Juwono, Filbert Hilman, Nandong, Jobrun, Brennan, Andrew, Gopal, L.
Format:	Conference Paper
Language:	English
Published:	IEEE 2022
Subjects:	Science & Technology Technology Computer Science, Interdisciplinary Applications Green & Sustainable Science & Technology Computer Science Science & Technology - Other Topics Precious metal NARX RNN Optimization RSM RESPONSE-SURFACE METHODOLOGY ARTIFICIAL NEURAL-NETWORK TIME-SERIES OPTIMIZATION
Online Access:	http://hdl.handle.net/20.500.11937/95100

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